This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
I have a simple DAX query counting distinct ID's in a fact table. When I run a simple 'Distinctcount(ID)....I get the answer in 7ms. However...I need to run a distinct count on ID's where fact[column] <> 'XX'. My calculation jumps to 700ms once a filter is applied. I've tried applying the filter on the fact table as well as on the DIM table (1 to many)....but can't seem to optimize and get the initial speed. Any thoughts? I've read the sqlbi paper on distinct count...but I don't see anything specific to applying filters in the calculation.
Solved! Go to Solution.
My guess is that the first result is sourcing the answer from metadata. Once you apply a filter, it has to do the actual count. It's only a guess.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 6 | |
| 5 | |
| 5 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 14 | |
| 7 | |
| 6 | |
| 6 | |
| 5 |